df_houses_prices = read.csv("house_prices.csv")
df_houses_prices %>% head()
## MSSubClass LotFrontage LotShape X1stFlrSF TotalBsmtSF GrLivArea FireplaceQu
## 1 60 65 Reg 856 856 1710 <NA>
## 2 20 80 Reg 1262 1262 1262 TA
## 3 60 68 IR1 920 920 1786 TA
## 4 70 60 IR1 961 756 1717 Gd
## 5 60 84 IR1 1145 1145 2198 TA
## 6 50 85 IR1 796 796 1362 <NA>
## GarageArea Heating ExterQual MasVnrArea BsmtFinSF1 BsmtUnfSF CentralAir
## 1 548 GasA Gd 196 706 150 Y
## 2 460 GasA TA 0 978 284 Y
## 3 608 GasA Gd 162 486 434 Y
## 4 642 GasA TA 0 216 540 Y
## 5 836 GasA Gd 350 655 490 Y
## 6 480 GasA TA 0 732 64 Y
## SalePrice
## 1 208500
## 2 181500
## 3 223500
## 4 140000
## 5 250000
## 6 143000
df_houses_prices %>% summary()
## MSSubClass LotFrontage LotShape X1stFlrSF TotalBsmtSF
## Min. : 20.0 Min. : 21.00 IR1:484 Min. : 334 Min. : 0.0
## 1st Qu.: 20.0 1st Qu.: 59.00 IR2: 41 1st Qu.: 882 1st Qu.: 795.8
## Median : 50.0 Median : 69.00 IR3: 10 Median :1087 Median : 991.5
## Mean : 56.9 Mean : 70.05 Reg:925 Mean :1163 Mean :1057.4
## 3rd Qu.: 70.0 3rd Qu.: 80.00 3rd Qu.:1391 3rd Qu.:1298.2
## Max. :190.0 Max. :313.00 Max. :4692 Max. :6110.0
## NA's :259
## GrLivArea FireplaceQu GarageArea Heating ExterQual
## Min. : 334 Ex : 24 Min. : 0.0 Floor: 1 Ex: 52
## 1st Qu.:1130 Fa : 33 1st Qu.: 334.5 GasA :1428 Fa: 14
## Median :1464 Gd :380 Median : 480.0 GasW : 18 Gd:488
## Mean :1515 Po : 20 Mean : 473.0 Grav : 7 TA:906
## 3rd Qu.:1777 TA :313 3rd Qu.: 576.0 OthW : 2
## Max. :5642 NA's:690 Max. :1418.0 Wall : 4
##
## MasVnrArea BsmtFinSF1 BsmtUnfSF CentralAir SalePrice
## Min. : 0.0 Min. : 0.0 Min. : 0.0 N: 95 Min. : 34900
## 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 223.0 Y:1365 1st Qu.:129975
## Median : 0.0 Median : 383.5 Median : 477.5 Median :163000
## Mean : 103.7 Mean : 443.6 Mean : 567.2 Mean :180921
## 3rd Qu.: 166.0 3rd Qu.: 712.2 3rd Qu.: 808.0 3rd Qu.:214000
## Max. :1600.0 Max. :5644.0 Max. :2336.0 Max. :755000
## NA's :8
for (name in colnames(df_houses_prices)){
print(name)
print(df_houses_prices %>% select("var" = name) %>%
ggplot(aes(x=var, y=..density..)) +
geom_density(col="magenta", lwd=1, fill = "cyan" ) +
theme_minimal())
}
## [1] "MSSubClass"
## Note: Using an external vector in selections is ambiguous.
## i Use `all_of(name)` instead of `name` to silence this message.
## i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
## [1] "LotFrontage"
## Warning: Removed 259 rows containing non-finite values (stat_density).
## [1] "LotShape"
## [1] "X1stFlrSF"
## [1] "TotalBsmtSF"
## [1] "GrLivArea"
## [1] "FireplaceQu"
## [1] "GarageArea"
## [1] "Heating"
## Warning: Groups with fewer than two data points have been dropped.
## Warning in max(ids, na.rm = TRUE): ningun argumento finito para max; retornando
## -Inf
## [1] "ExterQual"
## [1] "MasVnrArea"
## Warning: Removed 8 rows containing non-finite values (stat_density).
## [1] "BsmtFinSF1"
## [1] "BsmtUnfSF"
## [1] "CentralAir"
## [1] "SalePrice"
for (var_x in colnames(df_houses_prices)){
for (var_y in colnames(df_houses_prices)){
if (var_x != var_y){
print(df_houses_prices %>% select("X" = var_x, "Y" = var_y) %>%
ggplot(aes(x=X, y=Y)) +
geom_point(col = "blue") + ggtitle(paste0(var_y, " vs " ,var_x )) +
theme_minimal())
}
}
}
## Note: Using an external vector in selections is ambiguous.
## i Use `all_of(var_x)` instead of `var_x` to silence this message.
## i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
## Note: Using an external vector in selections is ambiguous.
## i Use `all_of(var_y)` instead of `var_y` to silence this message.
## i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 265 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 265 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
## Warning: Removed 259 rows containing missing values (geom_point).
## Warning: Removed 8 rows containing missing values (geom_point).
colNas <- colnames(df_houses_prices)[!complete.cases(t(df_houses_prices))]
colNas
## [1] "LotFrontage" "FireplaceQu" "MasVnrArea"
incompleteData <- df_houses_prices %>% select(colNas)
## Note: Using an external vector in selections is ambiguous.
## i Use `all_of(colNas)` instead of `colNas` to silence this message.
## i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
incompleteData
## LotFrontage FireplaceQu MasVnrArea
## 1 65 <NA> 196
## 2 80 TA 0
## 3 68 TA 162
## 4 60 Gd 0
## 5 84 TA 350
## 6 85 <NA> 0
## 7 75 Gd 186
## 8 NA TA 240
## 9 51 TA 0
## 10 50 TA 0
## 11 70 <NA> 0
## 12 85 Gd 286
## 13 NA <NA> 0
## 14 91 Gd 306
## 15 NA Fa 212
## 16 51 <NA> 0
## 17 NA TA 180
## 18 72 <NA> 0
## 19 66 <NA> 0
## 20 70 <NA> 0
## 21 101 Gd 380
## 22 57 Gd 0
## 23 75 Gd 281
## 24 44 TA 0
## 25 NA TA 0
## 26 110 Gd 640
## 27 60 <NA> 0
## 28 98 Gd 200
## 29 47 Gd 0
## 30 60 <NA> 0
## 31 50 <NA> 0
## 32 NA <NA> 0
## 33 85 <NA> 0
## 34 70 Gd 0
## 35 60 Gd 246
## 36 108 Gd 132
## 37 112 <NA> 0
## 38 74 TA 650
## 39 68 <NA> 0
## 40 65 <NA> 0
## 41 84 TA 101
## 42 115 Gd 0
## 43 NA <NA> 0
## 44 NA <NA> 0
## 45 70 <NA> 0
## 46 61 Gd 412
## 47 48 Ex 0
## 48 84 <NA> 0
## 49 33 <NA> 0
## 50 66 <NA> 0
## 51 NA <NA> 0
## 52 52 Gd 0
## 53 110 <NA> 0
## 54 68 Gd 0
## 55 60 TA 0
## 56 100 Gd 272
## 57 24 <NA> 456
## 58 89 <NA> 0
## 59 66 Gd 1031
## 60 60 <NA> 0
## 61 63 <NA> 0
## 62 60 <NA> 0
## 63 44 Gd 178
## 64 50 <NA> 0
## 65 NA <NA> 573
## 66 76 Gd 344
## 67 NA Gd 287
## 68 72 <NA> 167
## 69 47 <NA> 0
## 70 81 TA 0
## 71 95 Gd 1115
## 72 69 <NA> 0
## 73 74 TA 40
## 74 85 <NA> 104
## 75 60 <NA> 0
## 76 21 <NA> 0
## 77 NA <NA> 0
## 78 50 <NA> 0
## 79 72 <NA> 0
## 80 60 <NA> 0
## 81 100 Gd 576
## 82 32 <NA> 443
## 83 78 Gd 468
## 84 80 <NA> 66
## 85 NA TA 22
## 86 121 TA 284
## 87 122 Gd 0
## 88 40 <NA> 76
## 89 105 <NA> 0
## 90 60 <NA> 0
## 91 60 <NA> 0
## 92 85 <NA> 203
## 93 80 <NA> 0
## 94 60 Gd 0
## 95 69 <NA> 0
## 96 NA TA 68
## 97 78 <NA> 183
## 98 73 <NA> 48
## 99 85 <NA> 0
## 100 77 <NA> 0
## 101 NA TA 28
## 102 77 TA 336
## 103 64 <NA> 0
## 104 94 <NA> 0
## 105 NA TA 600
## 106 75 Gd 768
## 107 60 <NA> 0
## 108 50 <NA> 0
## 109 85 <NA> 0
## 110 105 TA 480
## 111 75 <NA> 0
## 112 NA TA 0
## 113 77 Gd 220
## 114 NA Gd 184
## 115 61 TA 0
## 116 34 Fa 1129
## 117 NA Po 116
## 118 74 <NA> 0
## 119 90 TA 0
## 120 65 Gd 0
## 121 NA TA 0
## 122 50 <NA> 0
## 123 75 <NA> 135
## 124 55 <NA> 0
## 125 48 TA 0
## 126 60 <NA> 0
## 127 NA TA 0
## 128 55 TA 0
## 129 69 Fa 266
## 130 69 <NA> 85
## 131 88 Gd 309
## 132 NA TA 40
## 133 75 <NA> 0
## 134 NA <NA> 136
## 135 78 TA 0
## 136 80 Gd 288
## 137 NA Fa 196
## 138 82 <NA> 70
## 139 73 TA 320
## 140 65 <NA> 0
## 141 70 Po 0
## 142 78 <NA> 0
## 143 71 <NA> 0
## 144 78 <NA> 183
## 145 70 <NA> 336
## 146 24 <NA> 50
## 147 51 <NA> 0
## 148 NA Gd 180
## 149 63 <NA> 120
## 150 NA <NA> 0
## 151 120 <NA> 0
## 152 107 Gd 436
## 153 NA Gd 252
## 154 NA Gd 0
## 155 84 <NA> 0
## 156 60 <NA> 0
## 157 60 <NA> 0
## 158 92 Gd 84
## 159 100 Gd 0
## 160 134 Gd 456
## 161 NA <NA> 0
## 162 110 Gd 664
## 163 95 Gd 226
## 164 55 <NA> 0
## 165 40 <NA> 0
## 166 62 <NA> 0
## 167 NA Gd 0
## 168 86 Gd 300
## 169 62 Gd 0
## 170 NA TA 653
## 171 NA <NA> 0
## 172 141 Gd 112
## 173 44 TA 0
## 174 80 TA 491
## 175 47 TA 132
## 176 84 Gd 0
## 177 97 TA 268
## 178 NA Gd 0
## 179 63 Gd 748
## 180 60 <NA> 0
## 181 NA TA 456
## 182 54 Gd 0
## 183 60 Gd 98
## 184 63 <NA> 0
## 185 92 <NA> 0
## 186 90 TA 0
## 187 NA <NA> 0
## 188 60 <NA> 0
## 189 64 TA 275
## 190 41 Gd 0
## 191 70 TA 0
## 192 NA <NA> 138
## 193 68 <NA> 0
## 194 24 <NA> 50
## 195 60 <NA> 0
## 196 24 TA 0
## 197 79 Gd 205
## 198 174 Ex 0
## 199 92 <NA> 0
## 200 76 Gd 262
## 201 80 <NA> 0
## 202 75 Fa 0
## 203 50 <NA> 0
## 204 NA Gd 205
## 205 50 <NA> 0
## 206 99 <NA> 0
## 207 40 TA 0
## 208 NA Po 0
## 209 NA Gd 128
## 210 75 <NA> 260
## 211 67 <NA> 0
## 212 83 <NA> 0
## 213 72 TA 0
## 214 43 <NA> 0
## 215 NA <NA> 153
## 216 72 Fa 64
## 217 65 <NA> 266
## 218 57 <NA> 0
## 219 NA TA 312
## 220 43 <NA> 16
## 221 73 <NA> 0
## 222 NA TA 0
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## 224 70 <NA> 0
## 225 103 Ex 922
## 226 21 <NA> 142
## 227 82 TA 290
## 228 21 <NA> 127
## 229 70 Fa 0
## 230 43 TA 16
## 231 73 <NA> 220
## 232 174 TA 506
## 233 21 Po 297
## 234 75 <NA> 0
## 235 NA TA NA
## 236 21 <NA> 604
## 237 65 <NA> 98
## 238 NA <NA> 0
## 239 93 <NA> 254
## 240 52 Gd 0
## 241 75 <NA> 36
## 242 40 <NA> 0
## 243 63 <NA> 0
## 244 75 TA 0
## 245 NA Fa 0
## 246 80 TA 102
## 247 69 <NA> 0
## 248 75 TA 0
## 249 72 <NA> 101
## 250 NA TA 472
## 251 55 <NA> 0
## 252 44 Gd 481
## 253 65 <NA> 0
## 254 85 <NA> 108
## 255 70 <NA> 0
## 256 66 TA 302
## 257 64 <NA> 0
## 258 68 Gd 180
## 259 80 TA 172
## 260 70 <NA> 0
## 261 120 TA 399
## 262 69 Gd 270
## 263 88 TA 46
## 264 50 <NA> 0
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## 266 78 TA 210
## 267 70 TA 0
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## 270 NA Fa 174
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## 273 92 Gd 348
## 274 80 Gd 183
## 275 76 <NA> 0
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## 278 140 <NA> 0
## 279 107 Ex 315
## 280 83 TA 299
## 281 82 TA 340
## 282 60 <NA> 68
## 283 34 Gd 166
## 284 74 Gd 72
## 285 50 <NA> 0
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## 290 60 <NA> 0
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## 293 60 Gd 0
## 294 NA TA 34
## 295 80 Gd 238
## 296 37 <NA> 0
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## 298 66 TA 1600
## 299 90 Gd 365
## 300 80 Gd 0
## 301 90 Gd 56
## 302 66 TA 0
## 303 118 TA 150
## 304 70 <NA> 0
## 305 87 Ex 0
## 306 80 <NA> 246
## 307 116 TA 246
## 308 NA <NA> 0
## 309 NA <NA> 0
## 310 90 Ex 0
## 311 NA TA 112
## 312 50 Gd 0
## 313 65 Gd 0
## 314 150 Gd 0
## 315 60 Gd 0
## 316 71 Gd 0
## 317 94 TA 278
## 318 75 Gd 0
## 319 90 TA 256
## 320 NA TA 225
## 321 111 <NA> 370
## 322 99 Gd 388
## 323 86 TA 172
## 324 49 <NA> 0
## 325 96 Gd 300
## 326 50 <NA> 0
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## 328 80 <NA> 175
## 329 NA <NA> 0
## 330 60 <NA> 0
## 331 NA <NA> 84
## 332 70 <NA> 0
## 333 85 Gd 296
## 334 59 Gd 146
## 335 59 TA 0
## 336 NA Gd 0
## 337 86 Gd 200
## 338 70 <NA> 113
## 339 91 <NA> 0
## 340 66 <NA> 176
## 341 85 <NA> 0
## 342 60 <NA> 0
## 343 NA <NA> 340
## 344 63 Ex 616
## 345 36 <NA> 0
## 346 65 Gd 0
## 347 NA <NA> 0
## 348 NA Gd 30
## 349 36 <NA> 106
## 350 56 Ex 870
## 351 68 Gd 362
## 352 NA TA 0
## 353 60 <NA> 0
## 354 60 <NA> 0
## 355 60 Gd 0
## 356 105 <NA> 0
## 357 NA <NA> 106
## 358 44 Po 0
## 359 92 <NA> 120
## 360 78 TA 530
## 361 NA TA 0
## 362 NA <NA> 0
## 363 64 Ex 500
## 364 21 <NA> 510
## 365 NA TA 120
## 366 59 <NA> 0
## 367 NA Gd 247
## 368 101 Gd 305
## 369 78 Gd 200
## 370 NA Gd 0
## 371 NA TA 0
## 372 80 Gd 0
## 373 50 <NA> 0
## 374 79 <NA> 0
## 375 65 Gd 0
## 376 NA <NA> 0
## 377 57 <NA> 0
## 378 102 Gd 0
## 379 88 Ex 350
## 380 60 TA 16
## 381 50 Gd 0
## 382 60 Gd 0
## 383 79 <NA> 0
## 384 60 <NA> 0
## 385 NA Fa 0
## 386 43 TA 16
## 387 58 <NA> 0
## 388 72 Fa 255
## 389 93 <NA> 125
## 390 96 Ex 272
## 391 50 <NA> 0
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## 394 NA TA 0
## 395 60 <NA> 0
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## 398 69 TA 288
## 399 60 <NA> 0
## 400 65 <NA> 100
## 401 38 Gd 0
## 402 65 Gd 0
## 403 60 <NA> 0
## 404 93 TA 650
## 405 NA TA 0
## 406 NA TA 0
## 407 51 <NA> 0
## 408 63 <NA> 0
## 409 109 Gd 350
## 410 85 Gd 100
## 411 68 <NA> 0
## 412 100 <NA> 0
## 413 NA Gd 432
## 414 56 Gd 0
## 415 59 TA 0
## 416 73 <NA> 0
## 417 74 TA 203
## 418 86 Gd 0
## 419 60 <NA> 0
## 420 65 Fa 0
## 421 78 <NA> 200
## 422 NA TA 126
## 423 100 <NA> 0
## 424 80 TA 473
## 425 72 Gd 74
## 426 60 Gd 0
## 427 NA TA 145
## 428 77 <NA> 0
## 429 64 <NA> 108
## 430 130 TA 0
## 431 21 <NA> 232
## 432 60 <NA> 0
## 433 24 <NA> 376
## 434 100 TA 0
## 435 21 <NA> 0
## 436 43 TA 0
## 437 40 <NA> 0
## 438 50 <NA> 0
## 439 40 Gd 0
## 440 67 <NA> 0
## 441 105 Gd 200
## 442 92 <NA> 270
## 443 52 Gd 0
## 444 53 Gd 72
## 445 70 TA 0
## 446 73 Gd 0
## 447 137 Gd 0
## 448 NA TA 0
## 449 50 Gd 0
## 450 50 <NA> 0
## 451 70 <NA> 0
## 452 62 TA 0
## 453 NA <NA> 42
## 454 75 <NA> 0
## 455 63 <NA> 0
## 456 80 TA 320
## 457 34 <NA> 0
## 458 NA Gd 0
## 459 NA Gd 0
## 460 NA TA 161
## 461 75 <NA> 110
## 462 60 <NA> 0
## 463 60 Po 0
## 464 74 Gd 0
## 465 60 <NA> 136
## 466 NA TA 18
## 467 85 Po 0
## 468 79 Gd 224
## 469 98 Gd 248
## 470 76 <NA> 120
## 471 NA <NA> 0
## 472 92 Gd 0
## 473 35 <NA> 80
## 474 110 Ex 304
## 475 41 <NA> 0
## 476 80 <NA> 0
## 477 75 TA 215
## 478 105 Gd 772
## 479 79 Gd 336
## 480 50 <NA> 435
## 481 98 Gd 378
## 482 72 Gd 562
## 483 50 Gd 0
## 484 32 <NA> 116
## 485 NA <NA> 0
## 486 80 Gd 0
## 487 79 <NA> 168
## 488 70 TA 0
## 489 60 Gd 0
## 490 21 <NA> 0
## 491 NA Gd 0
## 492 79 TA 0
## 493 105 <NA> 0
## 494 70 Fa 0
## 495 50 <NA> 0
## 496 60 <NA> 0
## 497 NA Gd 0
## 498 60 <NA> 0
## 499 65 <NA> 89
## 500 70 <NA> 0
## 501 21 <NA> 285
## 502 75 <NA> 0
## 503 70 <NA> 0
## 504 100 TA 0
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## 506 60 <NA> 360
## 507 80 TA 125
## 508 75 <NA> 0
## 509 60 Gd 0
## 510 80 <NA> 132
## 511 75 TA 70
## 512 40 Gd 94
## 513 70 <NA> 0
## 514 71 <NA> 0
## 515 55 <NA> 0
## 516 94 Gd 305
## 517 NA TA 333
## 518 79 TA 921
## 519 NA <NA> 0
## 520 53 Gd 0
## 521 60 <NA> 0
## 522 90 Gd 0
## 523 50 Gd 0
## 524 130 Gd 762
## 525 95 TA 594
## 526 62 TA 0
## 527 70 <NA> 0
## 528 67 Gd 268
## 529 58 <NA> 0
## 530 NA TA NA
## 531 85 Fa 219
## 532 60 <NA> 0
## 533 60 Po 0
## 534 50 <NA> 0
## 535 74 Gd 0
## 536 70 <NA> 0
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## 538 NA <NA> 0
## 539 NA Fa 188
## 540 NA TA 479
## 541 85 Gd 584
## 542 NA TA 72
## 543 78 TA 0
## 544 34 <NA> 182
## 545 58 Gd 0
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## 547 70 Gd 0
## 548 54 <NA> 0
## 549 49 <NA> 0
## 550 75 Gd 0
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## 552 50 <NA> 0
## 553 87 Gd 250
## 554 67 <NA> 0
## 555 85 Gd 292
## 556 58 Gd 0
## 557 69 TA 0
## 558 60 <NA> 0
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## 561 NA Gd 180
## 562 77 TA 0
## 563 63 Gd 0
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## 565 NA TA 0
## 566 66 <NA> 0
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## 568 70 <NA> 168
## 569 79 Gd 0
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## 572 60 <NA> 207
## 573 83 <NA> 0
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## 575 70 <NA> 82
## 576 80 <NA> 0
## 577 52 Gd 0
## 578 96 Fa 97
## 579 34 <NA> 0
## 580 81 <NA> 335
## 581 NA Gd 85
## 582 98 Gd 306
## 583 81 <NA> 104
## 584 75 Gd 0
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## 592 97 Gd 420
## 593 60 <NA> 0
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## 595 88 <NA> 0
## 596 69 TA 238
## 597 60 <NA> 0
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## 599 80 TA 459
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## 602 50 Gd 0
## 603 80 TA 0
## 604 30 <NA> 0
## 605 88 TA 99
## 606 85 Fa 176
## 607 82 <NA> 0
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## 609 78 Gd 0
## 610 61 <NA> 192
## 611 NA Ex 204
## 612 NA TA 233
## 613 NA TA 108
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## 616 80 <NA> 156
## 617 NA Gd 0
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## 619 90 Gd 452
## 620 85 Gd 226
## 621 45 <NA> 0
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## 626 87 <NA> 261
## 627 NA TA 0
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## 629 70 TA 192
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## 631 50 <NA> 0
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## 634 80 <NA> 0
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## 649 70 TA 351
## 650 21 <NA> 0
## 651 65 <NA> NA
## 652 60 Gd 0
## 653 70 TA 0
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porcentajeNAS <- as.data.frame(apply(incompleteData, MARGIN = 2, function(col) mean(is.na(col))))
colnames(porcentajeNAS ) <- c("porcentaje")
porcentajeNAS
## porcentaje
## LotFrontage 0.177397260
## FireplaceQu 0.472602740
## MasVnrArea 0.005479452
procesables <- porcentajeNAS %>% filter(
porcentajeNAS < 0.05
)
procesables
## porcentaje
## MasVnrArea 0.005479452